Assistant Teaching Professor for AI and Physics in DAMTP and the Department of Physics, with his primary appointment in DAMTP. Working on the physics of learning and machine learning for fundamental physics. Head of Mathematical AI at the Cambridge–Infosys AI Lab.
Research: INSPIRE · Google Scholar · NASA ADS
Research team: Krippendorf Lab
Seminar: DAMTP DIS seminar
Publications
Detecting symmetries with neural networks
– Machine Learning: Science and Technology
(2020)
2,
015010
(doi: 10.1088/2632-2153/abbd2d)
GANs for generating EFT models
– Physics Letters Section B Nuclear Elementary Particle and High Energy Physics
(2020)
810,
135798
UV Shadows in EFTs: Accidental Symmetries, Robustness and No‐Scale Supergravity
– Fortschritte der Physik
(2020)
68,
2000076
(doi: 10.1002/prop.202000076)
Connecting Dualities and Machine Learning
– Fortschritte der Physik
(2020)
68,
2000022
(doi: 10.1002/prop.202000022)
Searching for axion-like particles with X-ray polarimeters
– Galaxies
(2018)
6,
45
(doi: 10.3390/galaxies6020045)
The string soundscape at gravitational wave detectors
– Physics Letters B
(2018)
779,
348
Oscillons from string moduli
– Journal of High Energy Physics
(2018)
2018,
83
(doi: 10.1007/JHEP01(2018)083)
Consistency of Hitomi, XMM-Newton, and Chandra 3.5 keV data from Perseus
– Physical Review D - Particles, Fields, Gravitation and Cosmology
(2017)
96,
123009
(doi: 10.1103/physrevd.96.123009)
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